Best Practices for Hybrid- and Multi-Cloud Architectures
This whitepaper describes best practices for orchestrating
Hybrid- and Multi-Cloud architectures and how Data Virtuality can enable these.
Whether you want to build a semantic data access layer or simply replicate data in a central data warehouse, we have the right solution for you.
The unique combination of data virtualization and replication built to enable flexible and modern data architectures.
Self-service data pipelines to extract, transform and load data from any source to your central data warehouse.
Tailored to your use case, we will show you:
Explore how you can use the Data Virtuality Platform in different scenarios.
Learn more about the Data Virtuality Platform or to make your work with Data Virtuality even more successful.
Read, watch and learn what our customers achieved with Data Virtuality.
Find insightful webinars, whitepapers and ebooks in our resource library.
Learn how to use the Data Virtuality Platform with hands-on courses.
In this on-demand webinar, we look at how a modern data architecture can help data scientists to be faster and to work more efficiently.
Benefit from the independence, flexibility, and scalability of this modern architecture while ensuring transparency, governance and security.
Cloud platforms became very popular in recent years and are now an integral part for most enterprises. Some enterprises fully rely on solely one cloud platform infrastructure and build their architecture around it. But the dependence on a single cloud platform comes with several risks – the dependency aspect is an especially significant one. Therefore, the majority of companies are rather moving to a hybrid- or multi-cloud architecture approach in order to benefit from the independence, flexibility, security, and potential cost optimization that these modern architectures offer. The cloud data ecosystem plays an essential role in fully enabling multi- or hybrid-cloud architecture:
The Data Virtuality Platform helps to plug the gaps of the cloud platforms with different data management capabilities such as data integration, data quality, data governance, master data management, and metadata management so that you can build the architecture that you want!
All data sources, whether in private or public cloud or on-premises can easily be integrated with the Data Virtuality Platform providing a single layer for data access and delivery. This way, data silos can be eliminated or avoided.
The Data Virtuality Platform facilitates lifting data into the cloud and the exchange of data between different storage systems. The intelligent connectors support complex processes and optimize extract and load jobs of the data - even for large amounts of data. Ultimately, the data from various data sources is available in the different BI tools.
The data lineage features such as automatic data lineage, column-level data lineage, and persuasive audit trails in the Data Virtuality Platform give you full control over your data. With just one click, you can check where the data comes from, how it was manipulated, and by whom.
With a fine-granular permission layer (schema, table, column-, and row-level), built-in user/role-based permission system, flexible data masking, versioning for all custom metadata, and other features in the Data Virtuality Platform, you can ensure a high level of security in your data landscape. Sensitive data can be securely managed and efficiency can be increased as the users can solely focus on the relevant data as the irrelevant data is not accessible. You can always see who had access to which data or who was modifying the data models. It empowers you to fully utilize your data while complying to data protection laws.
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Phone: +49 341 26437217
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Phone: +1 650 898 0227
Our mission is to enable businesses to leverage the full potential of their data by providing a single source of truth platform to connect and manage all data.